{"id":"https://openalex.org/W2746646173","doi":"https://doi.org/10.1145/3103613","title":"Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images","display_name":"Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images","publication_year":2017,"publication_date":"2017-08-12","ids":{"openalex":"https://openalex.org/W2746646173","doi":"https://doi.org/10.1145/3103613","mag":"2746646173"},"language":"en","primary_location":{"id":"doi:10.1145/3103613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3103613","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064606251","display_name":"Duc\u2010Tien Dang\u2010Nguyen","orcid":"https://orcid.org/0000-0002-2761-2213"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE","IT"],"is_corresponding":true,"raw_author_name":"Duc-Tien Dang-Nguyen","raw_affiliation_strings":["University of Trento and Dublin City University, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-2761-2213","affiliations":[{"raw_affiliation_string":"University of Trento and Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936","https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015856151","display_name":"Luca Piras","orcid":"https://orcid.org/0000-0002-2130-9598"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Piras","raw_affiliation_strings":["University of Cagliari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075367917","display_name":"Giorgio Giacinto","orcid":"https://orcid.org/0000-0002-5759-3017"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio Giacinto","raw_affiliation_strings":["University of Cagliari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028899632","display_name":"Giulia Boato","orcid":"https://orcid.org/0000-0002-0260-9528"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Boato","raw_affiliation_strings":["University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068660181","display_name":"Francesco G. B. De Natale","orcid":"https://orcid.org/0000-0003-2566-6995"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco G. B. DE Natale","raw_affiliation_strings":["University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064606251"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I42934936"],"apc_list":null,"apc_paid":null,"fwci":1.1095,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86530248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8132201433181763},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7197944521903992},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.6503772735595703},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5972440838813782},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5706533193588257},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.5139996409416199},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4515414237976074},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.44702789187431335},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4458233416080475},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4245820641517639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4208594560623169},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.41198134422302246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3717808127403259},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.37060683965682983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32112476229667664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2595282793045044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2299206554889679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132201433181763},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7197944521903992},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.6503772735595703},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5972440838813782},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5706533193588257},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.5139996409416199},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4515414237976074},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.44702789187431335},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4458233416080475},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4245820641517639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4208594560623169},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.41198134422302246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3717808127403259},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.37060683965682983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32112476229667664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2595282793045044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2299206554889679},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3103613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3103613","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:http://www.rian.ie/144637/","is_oa":false,"landing_page_url":"http://doras.dcu.ie/22029/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dang-Nguyen, Duc-Tien ORCID: 0000-0002-2761-2213 <https://orcid.org/0000-0002-2761-2213>, Piras, Luca, Giacinto, Giorgio, Boato, Giulia and De Natale, Francesco  (2017) Multimodal retrieval with diversification and relevance feedback for tourist attraction images.  ACM Transactions on Multimedia Computing, Communications, and Applications, 13  (4).   49:1-49:24.  ISSN 1551-6857","raw_type":"Other"},{"id":"pmh:oai:iris.unica.it:11584/220123","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=3103613","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unitn.it:11572/195644","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/195644","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1486945532","https://openalex.org/W1568735236","https://openalex.org/W1584938917","https://openalex.org/W1586847502","https://openalex.org/W1654865708","https://openalex.org/W1668893529","https://openalex.org/W1778753195","https://openalex.org/W1847551302","https://openalex.org/W1978408947","https://openalex.org/W2008723315","https://openalex.org/W2017814585","https://openalex.org/W2024550919","https://openalex.org/W2032857943","https://openalex.org/W2037650152","https://openalex.org/W2038228855","https://openalex.org/W2063246788","https://openalex.org/W2074640943","https://openalex.org/W2083305840","https://openalex.org/W2093541376","https://openalex.org/W2095897464","https://openalex.org/W2096722213","https://openalex.org/W2097290407","https://openalex.org/W2101498401","https://openalex.org/W2104052971","https://openalex.org/W2107976605","https://openalex.org/W2109506130","https://openalex.org/W2113056774","https://openalex.org/W2118573581","https://openalex.org/W2118587067","https://openalex.org/W2119742615","https://openalex.org/W2121196063","https://openalex.org/W2122320829","https://openalex.org/W2126910394","https://openalex.org/W2130932233","https://openalex.org/W2131315076","https://openalex.org/W2139639580","https://openalex.org/W2161969291","https://openalex.org/W2162349892","https://openalex.org/W2162915993","https://openalex.org/W2163334428","https://openalex.org/W2167726669","https://openalex.org/W2183681795","https://openalex.org/W2295691670","https://openalex.org/W2295716803","https://openalex.org/W2296357028","https://openalex.org/W2392997304","https://openalex.org/W2399908628","https://openalex.org/W2404582056","https://openalex.org/W2540358842","https://openalex.org/W2569318312","https://openalex.org/W2623012778","https://openalex.org/W3138773240","https://openalex.org/W4248927948"],"related_works":["https://openalex.org/W1973132420","https://openalex.org/W2293311120","https://openalex.org/W2079732694","https://openalex.org/W2108908591","https://openalex.org/W2064149692","https://openalex.org/W2145779836","https://openalex.org/W2376453013","https://openalex.org/W1794064547","https://openalex.org/W15660536","https://openalex.org/W2100046112"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"present":[4],"a":[5,11,15,56,87,97,138,146,151,208,213],"novel":[6,139],"framework":[7,170],"that":[8,45,167],"can":[9,121,171],"produce":[10],"visual":[12,76,115],"description":[13],"of":[14,31,38,59,89,119,180,183,190,193,199,215],"tourist":[16],"attraction":[17],"by":[18,64,125,133,207],"choosing":[19],"the":[20,32,39,90,107,114,130,134,158,168,178,188,191,194,200],"most":[21],"diverse":[22,60,184],"pictures":[23],"from":[24,82],"community-contributed":[25],"datasets,":[26],"which":[27],"describe":[28],"different":[29,83],"details":[30],"queried":[33],"location.":[34],"The":[35,117,197],"main":[36],"strength":[37],"proposed":[40,135,169,201],"approach":[41,202],"is":[42,94],"its":[43],"flexibility":[44],"permits":[46],"us":[47],"to":[48,54,70,86,113],"filter":[49],"out":[50],"non-relevant":[51],"images":[52,63,68,81,185],"and":[53,61,74,78,106,186],"obtain":[55],"reliable":[57],"set":[58],"relevant":[62],"first":[65,105],"clustering":[66],"similar":[67],"according":[69,85,112],"their":[71,75],"textual":[72,101],"descriptions":[73,102],"content":[77],"then":[79,110],"extracting":[80],"clusters":[84,108],"measure":[88],"user\u2019s":[91],"credibility.":[92],"Clustering":[93],"based":[95],"on":[96,129,157],"two-step":[98],"process,":[99],"where":[100,141],"are":[103,109],"used":[104],"refined":[111],"features.":[116],"degree":[118],"diversification":[120],"be":[122],"further":[123],"increased":[124],"exploiting":[126],"users\u2019":[127,195],"judgments":[128],"results":[131,155],"produced":[132],"algorithm":[136],"through":[137],"approach,":[140],"users":[142],"not":[143],"only":[144],"provide":[145],"relevance":[147],"feedback":[148],"but":[149],"also":[150,205],"diversity":[152],"feedback.":[153,196],"Experimental":[154],"performed":[156],"MediaEval":[159],"2015":[160],"\u201cRetrieving":[161],"Diverse":[162],"Social":[163],"Images\u201d":[164],"dataset":[165],"show":[166],"achieve":[172],"very":[173],"good":[174],"performance":[175],"both":[176],"in":[177,187],"case":[179,189,210],"automatic":[181],"retrieval":[182],"exploitation":[192],"effectiveness":[198],"has":[203],"been":[204],"confirmed":[206],"small":[209],"study":[211],"involving":[212],"number":[214],"real":[216],"users.":[217]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}